Péter Wittek

Controlling adaptive quantum-phase estimation with scalable reinforcement learning.

2016 · KTH Publication Database DiVA (KTH Royal Institute of Technology)

We develop a reinforcement-learning algorithm to construct a feedback policy that delivers quantum-enhanced interferometric-phase estimation up to 100 photons in a noisy environment. We ensure scalability of the calculations by distributing the workload in a …

Evaluating probabilistic programming languages for simulating quantum correlations v1

2018

Set up of environment required for PyMC3, Pyro & Turing.jl protocols.io |